Search results
CoCalc offers a full, collaborative, real-time synchronized Linux Command Line Terminal in your browser. Take a look at our terminal documentation to learn more about it! Browse the installed software in CoCalc.
CoCalc offers a full, collaborative, real-time synchronized Linux Command Line Terminal in your browser. Take a look at our terminal documentation to learn more about it! Browse the installed software in CoCalc.
The CoCalc Linux Terminal lets you run programs online in a Linux environment. Everything runs remotely inside a project , the ongoing terminal session is synchronized with your collaborators, and all your files are backed up.
The very sophisticated collaborative Linux Terminal makes you incredibly productive. Many programming languages and hundreds of tools are available at your fingertips in a full Ubuntu Linux environment.
Everyone sees the same output, and coordinate via side chat next to the terminal. You can also simultaneously work with many terminal sessions. For long-running programs, you can even close your browser and check on the result later.
In order to use the Linux command line, e.g., compilers, etc., create a terminal file (one ending in .term) and connect it to a compute server in the same way. If you chose the “CUDA Toolkit” image, then the nvcc command will be available for compiling .cu code. See this tutorial for details. JupyterLab, VS Code, X11 Desktop
The goal of SageMath is to create a viable free open source alternative to Magma, Maple, Mathematica and Matlab by building on top of many existing open-source packages, including NumPy, SciPy, matplotlib, SymPy, Maxima, GAP, FLINT, and R.
Use Julia from the collaborative, Linux Terminal or virtual X11 graphical Linux desktop. Easily launch a Pluto.jl notebook server in your CoCalc project.
You have used CoCalc’s two main toolbars a bit during your first session. Learn more about them at these locations in this online guide: Project Toolbar. Activity Bar. Your CoCalc Session CoCalc will keep track of projects you have open and files that are open within those projects. When you return, you will see the same open projects and files.
Use a collaborative online Linux terminal, edit and run Bash scripts, or work in a Jupyter Notebooks running the Bash kernel.
